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Three methods of educational big data analysis
First, commonly used big data analysis methods

1, descriptive analysis

This is the most widely used analysis method in business and the simplest data analysis method. It provides enterprises with important indicators and business measurement methods, and can obtain a lot of customer information through various data of enterprises, such as customer preferences, product habits and so on.

2. Diagnostic analysis

After descriptive analysis is completed, diagnostic analysis can be carried out, mainly by evaluating descriptive data. Diagnostic analysis tools can make data analysis deeply analyze data and go deep into the core of data. A well-designed data analysis tool can integrate the functions of data reading, feature filtering and data drilling in time series, so as to analyze data better.

3. Forecast and analysis

Predictive analysis is used to predict the possibility of future events. Prediction model can predict a quantifiable value or the time point of an event. It is also an important method and has been applied in many fields.

4, instruction analysis

The next step of data and complexity analysis is instruction analysis, and instruction model can help users decide what measures should be taken.